Blog categorized as Agentic Architectures Series

Chunking, granularity, and how systems learn what matters.

Intelligent systems do not operate on knowledge alone. They operate on context: the instructions, constraints, definitions, data, and rules that shape how they interpret a task and decide what to do

Modern AI systems are easy to adopt. They come packaged as APIs, assistants, plugins, and platform features that integrate quickly and deliver compelling demonstrations with minimal effort. This accessibility creates the impression that capability and value scale together. They do not.

Models converge. Differentiation moves to context, coherence, and design.